Business Technology Solutions Associate Consultant
ZS's Business Technology Solutions team leads end-to-end project responsibility across all phases - discovery, requirements gathering, design, implementation, testing, and operations. This team seeks diverse technology challenges and fosters continuous innovation that benefits individual professional growth while delivering best-in-class technology solutions. The team takes overall ownership of solution delivery, managing operations services, client stakeholder management, business development, project planning, and team management.
We are seeking a hands-on and driven Data Engineer Associate Consultant with 3-5 years of professional experience to join our Business Technology Solutions - Supply Chain & Manufacturing team. The successful candidate will bring strong data engineering skills across cloud platforms, Python/PySpark, and SQL, along with the ability to lead a small team of associates in delivering high-quality technical solutions. This is not an individual contributor role - you will be expected to take ownership of delivery modules, interact directly with clients, and contribute meaningfully to solution design thinking. You will work closely with senior consultants and architects while independently managing your team's and your individual output, timelines, and quality.
What you'll do :
- Translate business requirements into technical designs and lead hands-on implementation for assigned modules and workstreams.
- Take ownership of solution quality within your scope - applying data quality validations, best coding practices, and thorough testing to ensure accurate and actionable business insights.
- Manage and mentor a small team of associates, distributing tasks, tracking progress, and ensuring consistent delivery against project timelines and quality benchmarks.
- Serve as a day-to-day point of contact for clients - participating in status calls, design discussions, and requirement walkthroughs with clarity and professionalism.
- Work with technical architects and senior team members to validate solution design and implementation approach, escalating risks and blockers proactively.
- Support the project lead in planning activities including sprint planning, effort estimation, and work breakdown for the team.
- Guide and contribute to the delivery of key project artifacts - solution designs, user requirements, technical architecture documents, test cases, deployment plans, and project & operations documentation.
- Apply SDLC or Agile development methodologies and contribute to continuous team improvement through retrospectives and process feedback.
- Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions in collaboration with senior engineers and architects.
- Actively contribute to business problem-solving exercises, bringing technical depth and structured thinking to design decisions.
What you'll bring:
- Bachelor's or Master's degree in Computer Science, Business Analytics, MIS, or a related technical discipline.
- 3-5 years of hands-on professional experience in data engineering or data management, delivering small to medium-scale technology solutions.
- Deep expertise in cloud data platforms - like AWS, Azure, Databricks, and Snowflake - with strong working knowledge of data lake and data warehouse architectures.
- Strong proficiency in Python, PySpark, and SQL; capable of writing production-quality code and reviewing the work of junior team members.
- Solid understanding of RDBMS concepts, big data processing, ETL/ELT design patterns, and data quality frameworks.
- Demonstrated experience leading a small team or workstream: task distribution, progress tracking, and mentorship of junior associates.
- Ability to engage directly with clients in day-to-day project delivery interactions - this will not be an individual contributor role.
- Experience translating business problems into technical design solutions with a structured, analytical approach.
- Working knowledge of AI tools (e.g., AI-assisted development, use of LLM-based tooling etc.)
- Hands-on experience in AI engineering or agentic development (LLM orchestration, RAG pipelines, autonomous agents) is a strong plus.
- Supply chain or manufacturing domain experience is a plus.
- Strong verbal and written communication skills - ability to structure technical ideas clearly for both engineering and business audiences.
- Ability to simplify complex technical concepts into straightforward frameworks and client-ready presentations or documentations.
- Comfortable working in a virtual, global team environment and contributing to delivery across multiple concurrent workstreams.
- Strong analytical and problem-solving skills, including familiarity with algorithms and data structures.
- Team-first mindset with a coaching orientation - invested in the growth and development of junior team members.
- We operate in a hybrid setup and candidate's in-office presence would be required based on the same. Travel to client sites may also be required.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
How you'll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India , visit ZS India office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
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Find Out More At:
www.zs.com
Skills Required
- Bachelor's or Master's degree in Computer Science, Business Analytics, MIS, or related technical discipline.
- 3-5 years of hands-on professional experience in data engineering or data management.
- Deep expertise in cloud data platforms (AWS, Azure, Databricks, Snowflake) and data lake/data warehouse architectures.
- Strong proficiency in Python, PySpark, and SQL; able to write production-quality code and review junior work.
- Solid understanding of RDBMS concepts, big data processing, ETL/ELT design patterns, and data quality frameworks.
- Demonstrated experience leading a small team or workstream, including task distribution and mentorship.
- Ability to engage directly with clients and act as day-to-day point of contact for project delivery.
- Working knowledge of AI tools and LLM-based tooling (AI-assisted development, LLM tooling).
- Hands-on experience in AI engineering or agentic development (LLM orchestration, RAG pipelines, autonomous agents).
- Supply chain or manufacturing domain experience.
- Strong verbal and written communication skills and fluency in English.
- Willingness to work in a hybrid setup and travel to client sites as required.
ZS Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental and vision coverage is paired with mental-health support via Workplace Options, with caregiving supports through partners like Bright Horizons and Milk Stork. The health plan is presented as a standout perk in the package.
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Parental & Family Support — Family-forming support spans fertility, adoption and surrogacy assistance, alongside paid Family Leave of 10 weeks plus an additional 6 weeks paid maternity leave for birth mothers (up to 16 weeks). Services like Milk Stork and back-up care strengthen support for caregiving and travel needs.
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Inclusive Benefits Coverage — Published LGBTQIA+-inclusive benefits include transgender-inclusive care and HIV services, plus domestic-partner eligibility. Inclusive policies are explicitly documented across U.S. benefits materials.
ZS Insights
What We Do
ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.
Why Work With Us
ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.
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